ArticleEvolutionary bioinformatics online2013
Computational Identification of MicroRNAs from the Expressed Sequence Tags of Toxic Dinoflagellate Alexandrium Tamarense.
Article in Evolutionary bioinformatics online, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 16 citations in OpenAlex.
- Novel MicroRNAs and their Functional Targets fromCurrent genomics · 2022Article
- Integrated omics unveil the secondary metabolic landscape of a basal dinoflagellate.BMC biology · 2020Article
- Biosynthesis of Saxitoxin in Marine Dinoflagellates: An Omics Perspective.Marine drugs · 2020Review
- Omics Analysis for Dinoflagellates Biology Research.Microorganisms · 2019Review
- The Genetic Basis of Toxin Biosynthesis in Dinoflagellates.Microorganisms · 2019Review
- Translation and Translational Control in Dinoflagellates.Microorganisms · 2018Review
- Transcriptome Analysis of Core Dinoflagellates Reveals a Universal Bias towards "GC" Rich Codons.Marine drugs · 2017Article
- miRNAs Do Not Regulate Circadian Protein Synthesis in the Dinoflagellate Lingulodinium polyedrum.PloS one · 2017Article
- Article
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7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Micro ribonucleic acids (miRNAs) represent a class of small noncoding RNAs that play important roles in multiple biological processes by degrading targeted mRNAs or by repressing mRNA translation. In the case of algal lineages, especially dinoflagellates, knowledge regarding the miRNA system is still limited and its regulatory role remains unclear. In the present study, a computational approach was employed to screen miRNAs from the expressed sequence tags (ESTs) of Alexandrium tamarense. A total of 18 potential miRNAs were identified according to a range of filtering criteria. In addition, unique evolutionary features, such as miRNA gene duplication and sequence similarity to metazoan miRNAs, implied that the miRNA system in dinoflagellates is complex. Moreover, based on these 18 miRNA sequences, 42 potential target genes showing diverse functions in regulating growth and development were predicted in Thalassiosira pseudonana and Phaeodactylum tricornutum. Taken together, our data suggest the existence of miRNAs in dinoflagellates and provide clues for further functional studies on these predicted miRNAs.
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